Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea.
Bio-Synergy Research Center, Daejeon 34141, Korea.
Nutrients. 2018 Aug 8;10(8):1042. doi: 10.3390/nu10081042.
Identifying the health benefits of phytochemicals is an essential step in drug and functional food development. While many in vitro screening methods have been developed to identify the health effects of phytochemicals, there is still room for improvement because of high cost and low productivity. Therefore, researchers have alternatively proposed in silico methods, primarily based on three types of approaches; utilizing molecular, chemical or ethnopharmacological information. Although each approach has its own strength in analyzing the characteristics of phytochemicals, previous studies have not considered them all together. Here, we apply an integrated in silico analysis to identify the potential health benefits of phytochemicals based on molecular analysis and chemical properties as well as ethnopharmacological evidence. From the molecular analysis, we found an average of 415.6 health effects for 591 phytochemicals. We further investigated ethnopharmacological evidence of phytochemicals and found that on average 129.1 (31%) of the predicted health effects had ethnopharmacological evidence. Lastly, we investigated chemical properties to confirm whether they are orally bio-available, drug available or effective on certain tissues. The evaluation results indicate that the health effects can be predicted more accurately by cooperatively considering the molecular analysis, chemical properties and ethnopharmacological evidence.
鉴定植物化学物质的健康益处是药物和功能性食品开发的重要步骤。虽然已经开发出许多体外筛选方法来鉴定植物化学物质的健康影响,但由于成本高和生产力低,仍有改进的空间。因此,研究人员转而提出了基于三种类型方法的计算方法;利用分子、化学或民族药理学信息。虽然每种方法在分析植物化学物质的特征方面都有其自身的优势,但以前的研究并未将它们全部考虑在内。在这里,我们应用综合的计算分析,根据分子分析以及化学性质和民族药理学证据来识别植物化学物质的潜在健康益处。从分子分析中,我们发现 591 种植物化学物质平均具有 415.6 种健康影响。我们进一步研究了植物化学物质的民族药理学证据,发现平均有 129.1 种(31%)预测的健康影响具有民族药理学证据。最后,我们研究了化学性质,以确认它们是否具有口服生物利用度、药物可用性或对某些组织的有效性。评估结果表明,通过合作考虑分子分析、化学性质和民族药理学证据,可以更准确地预测健康影响。